tailieunhanh - Báo cáo khoa học: "Knowledge Acquisition from Texts : Using an Automatic Clustering Method Based on Noun-Modifier Relationship"

We describe the early stage of our methodology of knowledge acquisition from technical texts. First, a partial morpho-syntactic analysis is performed to extract "candidate terms". Then, the knowledge engineer, assisted by an automatic clustering tool, builds the "conceptual fields" of the domain. We focus on this conceptual analysis stage, describe the data prepared from the results of the morpho-syntactic analysis and show the results of the clustering module and their interpretation. We found that syntactic links represent good descriptors for candidate terms clustering since the clusters are often easily interpreted as "conceptual fields". . | Knowledge Acquisition from Texts Using an Automatic Clustering Method Based on Noun-Modifier Relationship Houssem Assadi Electricité de France - DER IMA and Paris 6 University - LAFORIA 1 avenue du General de Gaulle F-92141 Clamart France Abstract We describe the early stage of our methodology of knowledge acquisition from technical texts. First a partial morpho-syntactic analysis is performed to extract candidate terms . Then the knowledge engineer assisted by an automatic clustering tool builds the conceptual fields of the domain. We focus on this conceptual analysis stage describe the data prepared from the results of the morpho-syntactic analysis and show the results of the clustering module and their interpretation. We found that syntactic links represent good descriptors for candidate terms clustering since the clusters are often easily interpreted as conceptual fields . 1 Introduction Knowledge Acquisition KA from technical texts is a growing research area among the Knowledge-Based Systems KBS research community since documents containing a large amount of technical knowledge are available on electronic media. We focus on the methodological aspects of KA from texts. In order to build up the model of the subject field we need to perform a corpus-based semantic analysis. Prior to the semantic analysis morpho-syntactic analysis is performed by LEXTER a terminology extraction software Bourigault et al. 1996 LEXTER gives a network of noun phrases which are likely to be terminological units and which are connected by syntactical links. When dealing with medium-sized corpora a few hundred thousand words the terminological network is too voluminous for analysis by hand and it becomes necessary to use data analysis tools to process it. The main idea to make KA from medium-sized corpora a feasible and efficient task is to perform a robust syntactic analysis using LEXTER see section 2 followed by a semi-automatic semantic analysis where .

• Báo cáo khoa học
• Knowledge Acquisition from Texts
• Using an Automatic Clustering Method
• Noun Modifier Relationship
• scientific reports
• model language
• process natural language
• Dialog Control
• Natural Language System
• Dialog Control in a Natural Language System
• Expanding the Horizons
• Natural Language Interfaces
• Phil Hayes
• PROSPECTS OR PRACTICAL
• NATURAL LANGUAGE SYSTEMS
• Workshops
• NATURAL LANGUAGE
• INTERACTION WITH MACHINES
• Long Papers
• COMPUTER INTEBFACE DESIGN MURRAY TUROFF DEPARTMENT OF COMPUTER
• IiVFORMATION SCIENCE IIEW JERSEY INSTITUTE OF TECHNOLOGY
• EVALUATION OF NATURAL LANGUAGE
• INTERFACES TO DATABASE SYSTEMS
• A PANEL DISCUSSION
• database query system
• J
• Norwood Crout
• INTERFACES TO DATA BASE SYSTEMS
• Bozena Henisz
• INTERPRETING NATURAL LANGUAGE
• DATABASE UPDATES
• S
• Jermld Kaplan Jim David
• TRANSPORTABLE NATURAL LANGUAGE
• INTERFACES TO DATABASES
• Gary G
• Hendrlx and William H
• Lewis
• DATABASES THEORETICAL
• TECHNICAL ISSUES
• TRANSPORTABLE NATURAL LANGUAGE INTERFACES
• PROBLEMS AND TECHNIQUES
• Barbara J
• Grosz
• THEORETICAL TECHNICAL ISSUES
• NATURAL LANGUAGE ACCESS TO DATABASES
• R
• Petrick
• Domain Independent
• Database Access Systems
• ISSUES IN NATURAL LANGUAGE
• ACCESS TO DATABASES
• A LOGIC PROGRAMMING PERSPECTIVE
• Sharon C
• Salveter David Maier
• PLANNING NATURAL LANGUAGE
• EXPRESSIONS REFERRING
• Douglas E
• Appelt
• THE TEXT SYSTEM
• NATURAL LANGUAGE GENERATION
• Kathleen R
• M
• MENTING A DATABASE
• KNOWLEDGE REPRESENTATION
• THE KEY TO THE SELECTION PROBLEM
• E
• Jeffrey Conklin David D
• McDonald
• A KNOWLEDGE ENGINEERING
• NATURAL LANGUAGE UNDERSTANDING
• Stuart C
• Shapiro
• NATURAL LANGUAGE TEXTS
• NECESSARILY GRAMMATICAL
• EVEN COMPLETE
• UNGRAMHATICALITY
• EXTRA GRAMMATICALITY
• NATURAL LANGUAGE UNDERSTANDING SYSTEMS
• Taxonomy
• Descriptions
• Individuals in Natural
• Language Understanding
• The Use of Ooject Special Knowledge
• Natural Language Processing
• Mark H
• Bursteln